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Research of Innovation and Digital Transformation in Justice: A Systematic Review

https://doi.org/10.21202/jdtl.2024.12

EDN: idvewc

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Abstract

Objective: To develop a mapping of studies on innovation and digital transformation in the justice sector, publishes from 2001 to 2022. Five research questions were defined: 1) How to define innovation and digital transformation introduced in the justice sector? 2) What types of innovations and digital transformations are implemented in the justice sector? 3) What are the objectives of introducing innovation and digital transformation in the justice sector? 4) What are the antecedents that influence the process of innovation and digital transformation in the justice sector? 5) What are the results of the innovation and digital transformation process in the justice sector?

Methods: The systematic review of sources (scientific articles, conference 

proceedings, monographs and institutional documents) presented in this paper was conducted in accordance with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) protocol. Selected by “research field”, “topic”, “research design”, “year of publication” and the keywords “public administration”, “public sector”, “e-justice”, “digital transformation”, and “innovation”, the sources were analyzed and evaluated according to five main aspects: (1) definition of innovation; (2) types of innovation; (3) objectives of innovation; (4) antecedents of innovation; and (5) results of innovation.

Results: The heuristic model for studying innovation in the public sector developed by Vries et al. (2015) was adapted and applied to the research field of justice. The adaptation of the heuristic model allowed forming the following areas of analysis: contextual antecedents in justice; institutional antecedents in justice; characteristics of innovation and digital transformation in justice; individual antecedents in justice; types of innovation and digital transformation in justice; results of the process of innovation and digital transformation in justice.

Scientific novelty: a comprehensive review of the literature in the field of innovation and digital transformation in justice is presented by adapting the approach to conducting systematic studies of the literature in the social sciences. It helped to identify gaps and define directions for further research in the given field, including the activation of comparative legal research, expansion of the methodological base, reliance on the theories of public administration, etc.

Practical significance: the obtained results allow forming a heuristic map of innovation and digital transformation in justice, create antecedents (contextual, institutional and individual) and the basis for future empirical research in the field of justice, analysis, evaluation and improvement of public policy in the field of innovation and digital transformation in this area.

For citations:


Correia P., Pereira S., Bilhim J. Research of Innovation and Digital Transformation in Justice: A Systematic Review. Journal of Digital Technologies and Law. 2024;2(1):221–250. https://doi.org/10.21202/jdtl.2024.12. EDN: idvewc

Introduction

The research aims to provide a comprehensive overview of innovation and digital transformation in the justice sector and understand how it has been studied. Five research questions were defined: 1. What types of innovations and digital transformations are implemented in the justice sector? 2. What are the objectives of innovation and digital transformation in the justice sector? 3. What are the antecedents that influence the process of innovation and digital transformation in the justice sector? 4. What are the results of the innovation and digital transformation process in the justice sector?

Through a systematic literature review, 140 scientific articles, conference papers, books, and organizational documents on innovation and digital transformation in justice published between 2001 and 2022 were analyzed. These studies were examined based on the heuristic framework of innovation in the public sector validated by Vries et al. (2015), which considers five major dimensions, namely 1) definitions of innovation; 2) types of innovation; 3) objectives of innovation; 4) antecedents of innovation; and 5) results of innovation.

This research aims to contribute to the academic and knowledge area of justice administration in three central points. The first contribution is methodological, providing a comprehensive and systematic understanding of innovation and digital transformation in the justice sector. The second contribution is conceptual, aiming to understand how concepts related to innovation and transformation are operationalized and measured in the field of justice administration. The third contribution concerns the antecedents of the innovation and transformation process, allowing for a mapping of these antecedents. Finally, the adaptation of the heuristic framework of innovation in the public sector by Vries et al. (2015) in the justice sector contributes to proposing a framework for innovation and digital transformation in the justice sector, including antecedents (contextual, institutional, and individual), characteristics of innovation and digital transformation, types of innovation and digital transformation, and results of various processes of innovation and digital transformation in justice.

1. Methodology of systematic (review) research

This research aims to develop a mapping of studies on innovation and digital transformation in the justice sector. To achieve this, a systematic literature review was conducted following the PRISMA protocol  – Preferred Reporting Items for Systematic Reviews and Meta-Analyses (Page et al., 2021). The research design adopted in this work aligns with other systematic literature reviews in the social sciences, such as Vries et al. (2015) and Scognamiglio et al. (2023).

Following the PRISMA protocol’s indications, four strategies were employed in the literature search to identify studies eligible for the research (Cooper, 2016), namely 1) scientific area; 2) topic; 3) research design; 4) year of publication. Regarding the scientific area, included studies must be in the field of public administration, focusing on justice. Concerning topics, studies should include the following terms in their title, abstract, or keywords: «public administration,» «public sector,» «ejustice,» «digital transformation,» «innovation.» Regarding the research design criterion, both empirical and theoretical studies were considered. Studies applying questionnaires, case studies, experiments, literature reviews, systematic reviews, among other research designs, were included. Finally, studies published between 2001 and 2022 were considered.

Firstly, searches were conducted via Clarivate Web of Science, Scopus, and Google Scholar, using keywords such as «public administration,» «public sector,» «ejustice,» «digital transformation,» «innovation.» This search yielded over 3,000 studies. Secondly, articles in scientific journals of public administration were searched, generating 41 more articles for potential inclusion in the research. Searches in specialized organizations also produced 9 relevant documents included in the analysis. Relevant citations from scientific articles were also considered, adding 52 more sources. In the end, 11 more studies were identified.

In total, 3,514 research outputs were examined. Based on eligibility criteria, removing duplicate documents, inappropriate topics, and articles not in English, Portuguese, or Spanish, we eventually reached 140 studies for content analysis (Fig. 1). Of the 140 studies, 30 publications were published between 2001 and 2011, while 110 sources were published between 2012 and 2022. Of the total selected sources, 73 are scientific articles (accounting for 52% of the included studies), 37 are book chapters (accounting for 26% of the included studies), 16 are conference proceedings (accounting for 11% of the included studies), 9 sources are organizational documents (accounting for 6% of the included studies), and 6 are books (accounting for 4% of the included studies) (Table 1). The studies were identified with a specific ID (Table 2). Subsequently, the selected studies were categorized according to the dimensions developed by Vries et al. (2015). For each dimension, the heuristic model includes explanatory subsections analyzed in the results section.

Figure 1
Source: Own elaboration based on the Prisma Flow Diagram (Page et al., 2021)

Table 1. Characteristics of the studies under analysis

Characteristics

N (%)

Study ID

Publication date

(N = 140)

  

2001–2011

30

(21 %)

3, 20, 21, 23, 27, 31, 42, 47, 48, 52, 56, 61, 62, 66, 76, 77, 78, 89, 90, 91, 94, 100, 102, 107, 117, 118, 120, 128, 129, 133

2012–2022

110

(79 %)

1, 2, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 22, 25, 26, 28, 29, 30, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 43, 44, 45, 46, 49, 50, 51, 53, 54, 55, 57, 58, 59, 60, 63, 64, 65, 67, 68, 69, 70, 71, 72, 73, 74, 75, 79, 80, 81, 82, 83, 84, 85, 86, 87, 92, 93, 95, 96, 97, 98, 99, 101, 103, 104, 105, 106, 108, 109, 110, 111, 112, 113, 114, 115, 116, 119, 121, 122, 123, 124, 125, 126, 127, 130, 131, 132, 134, 135, 136, 137, 138, 139, 140

Publication type

(N = 140)

  

Scientific article

73

(52 %)

5, 7, 9, 10, 15, 16, 17, 18, 19, 26, 30, 31, 32, 43, 44, 45, 49, 51, 53, 54, 55, 56, 58, 60, 61, 63, 64, 66, 68, 72, 73, 74, 75, 79, 80, 81, 82, 84, 85, 86, 87, 89, 92, 93, 94, 95, 96, 97, 100, 101, 104, 105, 107, 108, 109, 110, 111, 112, 113, 115, 119, 120, 122, 124, 125, 126, 130, 131, 132, 134, 138, 139

Book

6

(4 %)

11, 23, 24, 57, 69, 77

Chapter

37

(26 %)

2, 3, 4, 6, 8, 12, 14, 21, 22, 25, 29, 33, 42, 46, 48, 59, 62, 65, 67, 70, 71, 76, 78, 83, 88, 90, 91, 103, 114, 116, 117, 118, 121, 123, 129, 136, 140

Conference proceeding

16

(11 %)

1, 13, 20, 27, 28, 47, 50, 52, 98, 99, 102, 106, 128, 133, 135, 137

Organizational document

9

(6 %)

34, 35, 36, 37, 38, 39, 40, 41, 127

Table 2. Included publications, ID, and type of publication

ID

Author, Year

Publication type

1

(Abdulvaliev, 2017)

Conference proceeding

2

(Adeleye et al., 2022)

Chapter

3

(Adler & Henman, 2009)

Chapter

4

(Ahmed et al., 2020)

Chapter

5

(Ahmed et al., 2021)

Scientific Article

6

(Andrade et al., 2012)

Chapter

7

(Arias & Maçada, 2020)

Scientific Article

8

(Axpe, 2021)

Chapter

9

(Bănică, 2020)

Scientific Article

10

(Bex et al., 2017)

Scientific Article

11

(Bochenek et al., 2022)

Book

12

(Borisova & Afanasiev, 2019)

Chapter

13

(Cano et al., 2015)

Conference proceeding

14

(Cano et al., 2017)

Chapter

15

(Carboni & Velicogna, 2012)

Scientific Article

16

(Carullo, 2015)

Scientific Article

17

(Chatfield & Reddick, 2020)

Scientific Article

18

(Chawinga et al., 2020)

Scientific Article

19

(Clarinval et al., 2020)

Scientific Article

20

(Contini & Cordella, 2004)

Conference proceeding

21

(Contini & Cordella, 2009)

Chapter

22

(Contini & Lanzara, 2014)

Chapter

23

(Contini & Lanzara, 2009)

Book

24

(Cordella & Contini, 2020)

Book

25

(Covelo de Abreu, 2019)

Chapter

26

(Creutzfeldt, 2021)

Scientific Article

27

(De Rugeriis, 2010)

Conference proceeding

28

(Deligiannis & Anagnostopoulos, 2017)

Conference proceeding

29

(Di Natale & Cordella, 2022)

Chapter

30

(Dillon & Beresford, 2014)

Scientific Article

31

(Doty & Erdelez, 2002)

Scientific Article

32

(Dumoulin & Licoppe, 2016)

Scientific Article

33

(Ermakova & Frolova, 2022)

Chapter

34

(CEPEJ, 2016)1

Organizational document

35

(CEPEJ, 2019a)2

Organizational document

36

(CEPEJ, 2019b)3

Organizational document

37

(CEPEJ, 2019c)4

Organizational document

38

(CEPEJ, 2021a)5

Organizational document

39

(CEPEJ, 2021b)6

Organizational document

40

(CEPEJ, 2021c)7

Organizational document

41

(CEPEJ, 2021d)8

Organizational document

42

(Fabri, 2009)

Chapter

43

(Fabri, 2018)

Scientific Article

44

(Fabri, 2021)

Scientific Article

45

(Fernandes et al., 2018)

Scientific Article

46

(Fernando et al., 2014)

Chapter

47

(Fersini et al., 2010)

Conference proceeding

48

(Filho & Veronese, 2009)

Chapter

49

(Frade et al., 2020)

Scientific Article

50

(Francesconi, 2014)

Conference proceeding

51

(Freitas & Medeiros, 2015)

Scientific Article

52

(Gascó & Jiménez, 2011)

Conference proceeding

53

(Gibson, 2016)

Scientific Article

54

(Greenwood & Bockweg, 2012)

Scientific Article

55

(Greenwood & Brinkema, 2015)

Scientific Article

56

(Henning & Ng, 2009)

Scientific Article

57

(Kengyel & Nemessányi, 2012)

Book

58

(Kettiger & Lienhard, 2021)

Scientific Article

59

(Kettiger et al., 2019)

Chapter

60

(Kiršienė et al., 2022)

Scientific Article

61

(Kiškis & Petrauskas, 2004)

Scientific Article

62

(Kitoogo & Bitwayiki, 2010)

Chapter

63

(Konina, 2020)

Scientific Article

64

(Kovalenko & Bernaziuk, 2018)

Scientific Article

65

(Kramer et al., 2018)

Chapter

66

(Lodge, 2005)

Scientific Article

67

(Lourenço et al., 2020)

Chapter

68

(Loutocký, 2022)

Scientific Article

69

(Lunardi & Clementino, 2021)

Book

70

(Lupo, 2015)

Chapter

71

(Lupo, 2019)

Chapter

72

(Lupo & Bailey, 2014)

Scientific Article

73

(Lupo & Carnevali, 2022)

Scientific Article

74

(Lyon et al., 2015)

Scientific Article

75

(Viktora, 2022)

Scientific Article

76

(Martínez, 2009)

Chapter

77

(Martínez & Abat, 2009)

Book

78

(McMillan, 2009)

Chapter

79

(Meyer, 2014)

Scientific Article

80

(Minbaleev & Evsikov, 2022)

Scientific Article

81

(Morison & Harkens, 2019)

Scientific Article

82

(Murillo & Zuniga, 2013)

Scientific Article

83

(Nikolaychenko & Nikolaychenko, 2019)

Chapter

84

(Oktal et al., 2016)

Scientific Article

85

(Olugasa, 2020)

Scientific Article

86

(Olugasa & Davies, 2022)

Scientific Article

87

(Pangalos et al., 2014)

Scientific Article

88

(Poblet et al., 2009)

Chapter

89

(Politis et al., 2008)

Scientific Article

90

(Potter, Farrelly & Begg, 2009)

Chapter

91

(Poullet, 2009)

Chapter

92

(Rattan & Rattan, 2021)

Scientific Article

93

(Reiling, 2020)

Scientific Article

94

(Reiling, 2011)

Scientific Article

95

(Reiling, 2012)

Scientific Article

96

(Reiling, 2017)

Scientific Article

97

(Reiling & Contini, 2022)

Scientific Article

98

(Rocha, 2021)

Conference proceeding

99

(Romdoni et al., 2022)

Conference proceeding

100

(Rooze, 2010)

Scientific Article

101

(Rosa et al., 2013)

Scientific Article

102

(Rugeriis, 2010)

Conference proceeding

103

(Rusakova & Frolova, 2022)

Chapter

104

(Sanders, 2021)

Scientific Article

105

(Sandoval-Almazan & Gil-Garcia, 2020)

Scientific Article

106

(Santuber et al., 2022)

Conference proceeding

107

(Sarantis & Askounis, 2009)

Scientific Article

108

(Seepma et al., 2021)

Scientific Article

109

(Shahbazov, 2019)

Scientific Article

110

(Shi et al., 2021)

Scientific Article

111

(Silveira & Covelo de Abreu, 2018)

Scientific Article

112

(Sousa et al., 2022)

Scientific Article

113

(Taal et al., 2019)

Scientific Article

114

(Themeli, 2022)

Chapter

115

(Karasev et al., 2021)

Scientific Article

116

(Tokarev et al., 2019)

Chapter

117

(Trochev, 2009)

Chapter

118

(Tyler, 2009)

Chapter

119

(Valeev & Nuriev, 2019)

Scientific Article

120

(van den Hoogen, 2008)

Scientific Article

121

(Velicogna, 2014)

Chapter

122

(Velicogna, 2017)

Scientific Article

123

(Velicogna, 2018)

Chapter

124

(Velicogna et al., 2013)

Scientific Article

125

(Velicogna et al., 2020)

Scientific Article

126

(Voigt, 2018)

Scientific Article

127

(Vucheva et al., 2020)

Organizational document

128

(Vuyst & Fairchild, 2006)

Conference proceeding

129

(Wallace, 2009)

Chapter

130

(Wallace, 2017)

Scientific Article

131

(Wallace, 2019)

Scientific Article

132

(Wallace & Laster, 2021)

Scientific Article

133

(Wallace & Rowden, 2009)

Conference proceeding

134

(Warren, 2014)

Scientific Article

135

(Wienrich et al., 2022)

Conference proceeding

136

(Yavuz et al., 2022)

Chapter

137

(Yu, 2021)

Conference proceeding

138

(Yu & Xia, 2020)

Scientific Article

139

(Zeleznikow, 2017)

Scientific Article

140

(Zeleznikow & Esteban de la Rosa, 2021)

Chapter

2. Heuristic model for researching innovation and digital transformation in justice

The heuristic framework for innovation in the public sector was developed by Vries et al. (2015). This article sought to adapt the framework to the specific sector of justice. Thus, dimensions/themes on definitions of innovation, types of innovation, innovation objectives, innovation antecedents, and innovation outcomes were considered. The dimensions were adapted, generating the following spheres of analysis: 1) contextual antecedents in the justice sector; 2) institutional antecedents in the Justice sector; 3) characteristics of innovation and digital transformation in the justice sector; 4) individual antecedents in the justice sector; 5) types of innovation and digital transformation in justice; 6) results of the innovation and digital transformation process in justice. In this way, a version is proposed for a specific sector of public administration: justice (Fig. 2).

Figure 2. Innovation and Digital Transformation Framework in the Justice Sector
Source: adapted from Vries et al. (2015).

In the dimension on contextual antecedents in the justice sector, the considered contextual antecedents relate to external pressures, public attention, participation in networks, regulatory aspects, the implementation of transformations and innovations in agencies/organizations/countries, and the possibility of competition with other institutions. In the dimension on institutional antecedents in the Justice sector, the considered institutional antecedents relate to resources, leadership, risk aversion, and establishing space for institutional learning. Regarding the dimension on the characteristics of innovation and digital transformation in the justice sector, characteristics related to ease, benefits, compatibility, and testability are included. Individual antecedents in the justice sector include employee autonomy, organizational position, knowledge and skills, creativity, relevant demographic aspects, commitment and satisfaction, perspectives and shared norms, and acceptance of digital transformation. The types of innovation and digital transformation in justice defined in the considered heuristic model include digital transformation in the process, digital transformation in administrative processes, digital transformation in technological processes, digital transformation of services, digital transformation in governance, and conceptual digital transformation. Finally, the dimension of the results of the innovation and digital transformation process in justice includes studies that address effectiveness, efficiency, relationship with partners, focus on citizens involved, as well as their satisfaction with digital justice services.

The studies included for this review were organized and allocated to each of the innovation and digital transformation dimensions in the justice sector. Some publications were included in more than one dimension of innovation and digital transformation in the Justice sector (Table 3).

Table 3. Innovation and Digital Transformation Dimensions in the Justice Sector

Dimension

N (%)

Study ID

Contextual Antecedents in the Justice Sector

17(12%)

11; 14; 23; 24; 34; 35; 36; 37; 38; 39; 40; 41; 57; 59; 61; 83; 129

Institutional Antecedents in the Justice Sector

24(17%)

11; 15; 23; 25; 27; 29; 34; 35; 36; 37; 38; 39; 40; 41; 42; 51; 59; 63; 69; 73; 75; 90; 103; 108

Characteristics of Innovation and Digital Transformation in the Justice Sector

18(13%)

1; 2; 5; 11; 13; 16; 17; 18; 24; 28; 52; 67; 72; 74; 110; 111; 134; 137

Individual Antecedents in the Justice Sector

18(13%)

4; 7; 11; 18: 19; 32; 34; 35; 36; 37; 38; 39; 40; 41; 69; 79; 84; 87

Types of Innovation and Digital Transformation in the Justice Sector

62(44%)

1, 2, 3, 4, 5, 7, 8, 10, 12, 14, 18, 20, 24, 30, 31, 33, 34, 37, 39, 41, 42, 44, 45, 46, 47, 50, 51, 57, 61, 66, 68, 74, 76, 82, 84, 85, 86, 87, 88, 90, 93, 96, 97, 99, 104, 106, 113, 116, 119, 120, 121, 122, 127, 130, 131, 132, 133, 135, 136, 138, 139, 140

Outcomes of the Innovation and Digital Transformation Process in the Justice Sector

30(21%)

1, 2, 5, 6, 7, 18, 19, 21, 25, 32, 43, 44, 53, 70, 71, 73, 76, 79, 80, 82, 84, 96, 99, 103, 113, 115, 118, 136, 137, 139

Note: total N = 140 (100%)  – some studies were included in more than one dimension of innovation and digital transformation in the Justice sector.

The type of innovation and digital transformation in justice encompasses 62 publications (corresponding to 44 % of all sources under analysis). Following is the dimension that considers the results of the innovation and digital transformation process in justice with 30 publications included (corresponding to 21 % of all sources under analysis). Next, the dimension with the most included studies relates to institutional antecedents in the Justice sector with 24 sources (corresponding to 17 % of all sources under analysis). Individual antecedents in the justice sector and the characteristics of innovation and digital transformation in the justice sector each include 18 studies (corresponding to 13 % of all sources under analysis for each dimension). Finally, contextual antecedents consider 17 publications, which corresponds to 12 % of the sources selected for this review.

Conclusions

By adopting a deductive research approach, it was possible to adapt and replicate the framework developed by Vries et al. (2015) in the specific theme of innovation and digital transformation in the justice sector.

The goal of this research was to provide a comprehensive view of innovation and digital transformation in the justice sector, mapping relevant studies for future investigations. We analyzed 140 sources on innovation and digital transformation in justice published between 2001 and 2022, using the heuristic framework of innovation in the public sector developed by Vries et al. (2015).

Considering the established questions, various innovations and digital transformations were identified, covering processes in general, administrative processes, technological processes, justice services, justice governance, as well as conceptual and design-related innovations. The central objectives of these innovations are to provide greater ease, accessibility, benefits, participation, involvement, and satisfaction (Cordella & Contini, 2020). Regarding antecedents, contextual factors, considering the specificities of the justice sector, institutional factors, and individual factors, with a special focus on the acceptance of transformations by those involved, stand out. However, it is necessary to interpret the results with caution, as the studies mention results oriented towards effectiveness, efficiency, speed, access, quality, partnership development, and a focus on the involvement and satisfaction of citizens.

The research conducted by Yavuz et al. (2022) identified four research areas in eJustice. The first is related to success and risk factors in the implementation of electronic justice. The second focuses on evaluating the impact of the implementation of e-justice projects. The third addresses citizen satisfaction, exploring experiences and better designs to meet the needs of society. The fourth highlights the evaluation of websites, considering quantity, quality, security, accessibility, openness, and participation.

This research contributes to justice administration on several fronts. The first contribution is methodological, by conducting a broad systematic review, identifying a considerable set of sources on the studied topic. The conceptual contribution aims to understand how concepts related to innovation and transformation are operationalized and measured in the administration of justice. The third contribution relates to the antecedents of the innovation and transformation process, allowing for reflection on these elements. Finally, there is a contribution to the knowledge area by adapting the heuristic framework of innovation in the public sector validated by Vries et al. (2015) to the justice sector.

The mapping carried out in this article should be continued and deepened, especially regarding the research designs adopted.

In conclusion, four future research lines are suggested for studies on innovation and digital transformation in the justice sector: 1) greater methodological diversity, including mixed methods approaches; 2) more theoretically robust studies, with a greater application of public administration theories; 3) comparative investigations between countries to understand different developments and effects of innovation and digital transformation in the justice sector; and 4)  analysis and evaluation of public policies for innovation and digital transformation in the justice sector.

1. European Commission for the Efficiency of Justice (CEPEJ). (2016). Guidelines on how to drive change towards Cyberjustice. Council of Europe.

2. European Commission for the Efficiency of Justice (CEPEJ). (2019a). European Ethical Charter on the Use of Artificial Intelligence in Judicial Systems and their Environment. Council of Europe.

3. European Commission for the Efficiency of Justice (CEPEJ). (2019b). Breaking up Judges’ Isolation: Guidelines to Improve the Judge’s Skills and Competences, Strengthen Knowledge Sharing and Collaboration, and Move Beyond a Culture of Judicial Isolation. Council of Europe.

4. European Commission for the Efficiency of Justice (CEPEJ). (2019c). Toolkit for supporting the implementation of the Guidelines on how to drive change towards Cyberjustice. Council of Europe.

5. European Commission for the Efficiency of Justice (CEPEJ). (2021a). Revised Roadmap for Ensuring an Appropriate Follow-Up of the CEPEJ Ethical Charter on the Use of Artificial Intelligence in Judicial Systems and Their Environment. Council of Europe.

6. European Commission for the Efficiency of Justice (CEPEJ). (2021b). Guidelines on Electronic Court Filing (e-filing) and Digitalisation of Courts. Council of Europe.

7. European Commission for the Efficiency of Justice (CEPEJ). (2021c). 2022 – 2025 CEPEJ Action Plan: “Digitalisation for a Better Justice”. Council of Europe.

8. European Commission for the Efficiency of Justice (CEPEJ). (2021d). Guidelines on Videoconferencing in Judicial Proceedings. Council of Europe.

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About the Authors

P. M. A. R. Correia
University of Coimbra
Portugal

Pedro Miguel Alves Ribeiro Correia – PhD in Social Sciences (Specialty in Public Administration), Invited Associate Professor, Faculty of Law

Pátio da Universidade, 3004-528 Coimbra

Scopus Author ID: https://www.scopus.com/authid/detail.uri?authorId=58223408400

WoS Researcher ID: https://www.webofscience.com/wos/author/record/B-2753-2015

Google Scholar ID: https://scholar.google.hu/citations?user=KABKPuUAAAAJ

 

Competing Interests:

The authors declares no conflict of interest.



S. P. M. Pereira
University of Coimbra
Portugal

Sandra Patrícia Marques Pereira – PhD student, Master in Public Administration (Specialty in Justice Administration), Assistant Lecturer, Faculty of Law

Pátio da Universidade, 3004-528 Coimbra

Scopus Author ID: https://www.scopus.com/authid/detail.uri?authorId=55929186300

WoS Researcher ID: https://www.webofscience.com/wos/author/record/X-3842-2019

Google Scholar ID: https://scholar.google.hu/citations?user=JkKwolYAAAAJ 

   

Competing Interests:

The authors declares no conflict of interest.



J. A. de F. Bilhim
University of Lisbon
Portugal

João Abreu de Faria Bilhim – PhD in Social Sciences (Specialty in Sociology of Organizations), Retired Full Professor

Cidade Universitária, Alameda da Universidade, 1649-004 Lisboa

Scopus Author ID: https://www.scopus.com/authid/detail.uri?authorId=57200310364

WoS Researcher ID: https://www.webofscience.com/wos/author/record/AAM-9835-2021

Google Scholar ID: https://scholar.google.hu/citations?user=giI6ICgAAAAJ


Competing Interests:

The authors declares no conflict of interest.



  • broadening the methodological basis of reviews, drawing on contemporary theories and approaches;
  • main directions of legal science development and gaps of research in the field of innovation and digital transformation in justice;
  • adapting a heuristic model for studying innovation in the public sector and applying it to the legal field;
  • research map and trends in the digitalization of justice.

Review

For citations:


Correia P., Pereira S., Bilhim J. Research of Innovation and Digital Transformation in Justice: A Systematic Review. Journal of Digital Technologies and Law. 2024;2(1):221–250. https://doi.org/10.21202/jdtl.2024.12. EDN: idvewc

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